ai_ask

SERVERGoCreative Agent API SOURCEhttps://api.gocreativeai.com/mcp

Critical RISK CLASS

Category Financial

Parameters 11 required

Recommended Approval-gatedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-colinhughes2121-gocreative-agent-api/ai-ask.md

WHAT IT DOES

What ai_ask does on GoCreative Agent API

AI agents use ai_ask to commit financial operations through GoCreative Agent API, usually the final step of a payment, billing, or trading workflow. A call moves real money.

Parameter	Type	Required	Description
`prompt`	string	Yes

Parameters from the server's own tool schema.

RISK

Why ai_ask is rated Critical

Every invocation of this tool triggers a USDC payment on the Base blockchain. Although the functional action (LLM completion) is a Read/Execute operation, the mandatory financial transaction per call places it squarely in the Financial category, as an AI agent misusing or spamming this tool would incur real monetary costs.

From the tool's definition Pay USDC per call... Cost: $0.005–$0.05 USDC on Base per call

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_ask safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GoCreative Agent API, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ai_ask, this is the rule to start with:

ai_ask Approval-gated

Any call to ai_ask is blocked until a human approves it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_ask": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

GATE THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GoCreative Agent API, apply this rule, and every ai_ask call is checked against it from then on.

FAQ

Questions about ai_ask

What does the ai_ask tool do? +

LLM completion (standard tier, DeepSeek V3.1) — send any prompt, get a frontier-quality answer. Pay USDC per call, no API key. Outsource summarization, extraction, classification, drafting, or reasoning far cheaper than burning premium model tokens. Example call: {"prompt": "Summarize this in 2 sentences: ..."} Cost: $0.005–$0.05 USDC on Base per call. It is categorised as a Financial tool in the GoCreative Agent API MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

What parameters does ai_ask accept? +

ai_ask accepts 1 parameter: prompt. Required: prompt. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on ai_ask? +

Register the GoCreative Agent API MCP server in PolicyLayer and add a rule for ai_ask: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GoCreative Agent API. Nothing to install.

What risk level is ai_ask? +

ai_ask is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit ai_ask? +

Yes. Add a rate_limit block to the ai_ask rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block ai_ask completely? +

Set action: deny in the PolicyLayer policy for ai_ask. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides ai_ask? +

ai_ask is provided by the GoCreative Agent API MCP server (https://api.gocreativeai.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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All critical-risk MCP tools → The MCP Attack Database →

Guides

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